Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification.
Journal:
BMC bioinformatics
Published Date:
Oct 7, 2020
Abstract
BACKGROUND: As a machine learning method with high performance and excellent generalization ability, extreme learning machine (ELM) is gaining popularity in various studies. Various ELM-based methods for different fields have been proposed. However, the robustness to noise and outliers is always the main problem affecting the performance of ELM.